Social Network Content Prioritization via Dynamic Scoring
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current social networking platforms lack effective prioritization mechanisms for social network content, leading to information overload, where users miss important updates due to the absence of a useful filtering system that requires user manipulation.
Innovation Solution
A method that calculates a prioritization score for social networking updates based on user interactions, update age, and user hierarchy, allowing for the prioritization and display of updates in a user-friendly manner, enabling users to focus on the most relevant content first.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If social networking platforms display all updates in chronological order, then users can see all content, but users experience information overload and miss important updates
Solution Approach 1:
The patent segments the information stream by applying prioritization algorithms that divide updates into different priority levels. Instead of presenting all updates uniformly, the system segments them based on calculated prioritization scores that consider user interactions, update age, and user hierarchy, allowing important updates to be separated and highlighted from less important ones.
Solution Approach 2:
The patent introduces an intermediary prioritization algorithm that acts as a mediator between the raw update stream and the user interface. This intermediary layer calculates prioritization scores based on multiple factors (user interactions, update age, user hierarchy) and reorders updates accordingly, preventing information overload while ensuring important updates are not missed.
2Ease of operation
If users manually filter social network content, then they can prioritize important information, but the system requires user manipulation and effort
Solution Approach 1:
The patent implements self-service by automatically calculating prioritization scores and reordering updates without requiring user intervention. The system autonomously analyzes user interactions, update age, and user hierarchy to generate prioritized feeds, eliminating the need for users to manually filter content while still delivering personalized, relevant information.
Solution Approach 2:
The patent employs feedback mechanisms by continuously monitoring user interactions with updates and using this feedback to refine prioritization scores. The system learns from user behavior patterns and adjusts the prioritization algorithm accordingly, improving ease of operation over time while reducing the time users would otherwise spend on manual filtering.
3Productivity
If the system prioritizes updates automatically, then users save time, but the prioritization algorithm increases system complexity
Solution Approach 1:
The patent manages system complexity by changing parameters in a modular fashion. The prioritization algorithm evaluates multiple parameters (user interactions, update age, user hierarchy) independently and combines them through weighted scoring. This parameter-based approach allows the system to achieve high user efficiency while maintaining manageable complexity through structured, incremental parameter evaluation rather than monolithic processing.
Data Source
AI summary
A method includes receiving one or more social networking updates, identifying update information corresponding to each of the one or more social networking updates, wherein update information includes at least user information, interaction information, and time information, calculating a prioritization score for each of the one or more social networking updates according to the identified update information, prioritizing the one or more updates based on the calculated prioritization scores, and displaying the one or more updates according to the prioritization. A computer program product and computer system corresponding to the method are also disclosed.